Senior Associate Data Scientist, Operational Risk Management

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: New York, NYMcLean, VARichmond, VA
Employment: Full-time
Posted: 82 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $180k

$126k $227k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $145,200–$214,600.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Associate Data Scientist, Operational Risk Management

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The Senior Associate, Data Scientist - Operational Risk Management joins the Operational Risk Analytics, Innovation, and Reporting team to drive end-to-end data analysis and reporting of operational risk performance. In this role, you will partner with cross-functional teams to build machine learning models through all phases of development, from design and training to evaluation and implementation. You will create next-generation features using emerging NLP and Generative AI technologies to unlock insights from huge volumes of numeric and textual data. The position requires proficiency with Python, Conda, AWS, H2O, Spark, and SQL. You will apply statistical methods including clustering, classification, sentiment analysis, time series, and deep learning to solve complex risk management problems and provide critical insights to senior executives and the board.

What does a Data Scientist earn in New York?

Median $173200 from 44 postings across 18 companies.

See salary data

Skills

Python AWS Spark H2O SQL Scala R Machine Learning NLP Generative AI Conda Deep Learning Time Series Clustering Classification Sentiment Analysis Statistical Modeling Big Data

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Develop next-generation features powered by emerging NLP and Generative AI technologies.
Perform end-to-end data analysis and reporting of operational risk performance for senior executives and the board.
Govern, monitor, and analyze operational risk data to inform strategic risk management decisions.
Translate complex technical work into tangible business goals for non-technical stakeholders.
Retrieve, combine, and analyze data from a variety of sources and structures to solve undefined problems.

What we're looking for

A Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics.
A Master's Degree in a quantitative field or an MBA with a quantitative concentration.
Experience developing data science solutions using open-source tools and cloud computing platforms.
Experience building, validating, and backtesting machine learning models.
Experience with clustering, classification, sentiment analysis, time series, and deep learning.
Experience with Python, Scala, or R (preferred).
Experience with SQL (preferred).
Experience working with AWS (preferred).

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